2024
Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction
Huang X, Arora J, Erzurumluoglu A, Stanhope S, Lam D, Arora J, Erzurumluoglu A, Lam D, Khoueiry P, Jensen J, Cai J, Lawless N, Kriegl J, Ding Z, de Jong J, Zhao H, Ding Z, Wang Z, de Jong J. Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction. Journal Of The American Medical Informatics Association 2024, 32: 435-446. PMID: 39723811, PMCID: PMC11833479, DOI: 10.1093/jamia/ocae297.Peer-Reviewed Original ResearchConceptsElectronic health recordsDisease risk predictionElectronic health record researchFamily health historyGenetic aspects of diseaseRisk predictionInflammatory bowel disease subtypeHealth recordsHealth historyAspects of diseaseFamily relationsHealthcare ResearchPatient's disease riskInfluence of geneticsDisease riskDiagnosis dataFamily pedigreeEnvironmental exposuresRisk factorsDisease dependencyPatient representation learningClinical profileFamilyDisease subtypesRiskStrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records
Lee H, Schwamm L, Sansing L, Kamel H, de Havenon A, Turner A, Sheth K, Krishnaswamy S, Brandt C, Zhao H, Krumholz H, Sharma R. StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records. Npj Digital Medicine 2024, 7: 130. PMID: 38760474, PMCID: PMC11101464, DOI: 10.1038/s41746-024-01120-w.Peer-Reviewed Original ResearchElectronic health recordsWeighted F1MIMIC-IIIClinical decision support systemsMulti-class classificationNatural language processingMIMIC-III datasetHealth recordsMachine Learning ClassifiersDecision support systemArtificial intelligence toolsVascular neurologistsLearning classifiersBinary classificationCross-validation accuracyLanguage processingMeta-modelIntelligence toolsStroke prevention effortsAcute ischemic strokeStroke etiologySupport systemStroke etiology classificationClassification toolClassifierCorrelates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder
Bigdeli T, Barr P, Rajeevan N, Graham D, Li Y, Meyers J, Gorman B, Peterson R, Sayward F, Radhakrishnan K, Natarajan S, Nielsen D, Wilkinson A, Malhotra A, Zhao H, Brophy M, Shi Y, O’Leary T, Gleason T, Przygodzki R, Pyarajan S, Muralidhar S, Gaziano J, Huang G, Concato J, Siever L, DeLisi L, Kimbrel N, Beckham J, Swann A, Kosten T, Fanous A, Aslan M, Harvey P. Correlates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder. Molecular Psychiatry 2024, 29: 2399-2407. PMID: 38491344, DOI: 10.1038/s41380-024-02472-1.Peer-Reviewed Original ResearchBipolar I disorderSuicidal behaviorElectronic health recordsPolygenic scoresVeterans Health AdministrationSelf-reported SBColumbia-Suicide Severity Rating ScaleBipolar I disorder patientsCorrelates of suicidal behaviorClasses of psychotropic medicationsSelf-injurious behaviorHealth recordsSeverity Rating ScaleDiagnosed mental illnessAssociated with clinical variablesElectronic health record codesEHR domainDepressive disorderC-SSRSLifetime diagnosisSubstance-relatedPsychotropic medicationsSuicidal ideationExternalizing behaviorsSuicide attemptsCorrelates of Risk for Disinhibited Behaviors in the Million Veteran Program Cohort
Barr P, Bigdeli T, Meyers J, Peterson R, Sanchez-Roige S, Mallard T, Dick D, Harden K, Wilkinson A, Graham D, Nielsen D, Swann A, Lipsky R, Kosten T, Aslan M, Harvey P, Kimbrel N, Beckham J, Aslan M, Antonelli M, de Asis M, Bauer M, Brophy M, Concato J, Cunningham F, Freedman R, Gaziano M, Gleason T, Harvey P, Huang G, Kelsoe J, Kosten T, Lehner T, Lohr J, Marder S, Miller P, O Leary T, Patterson T, Peduzzi P, Przygodski R, Siever L, Sklar P, Strakowski S, Zhao H, Fanous A, Farwell W, Malhorta A, Mane S, Palacios P, Bigdeli T, Corsey M, Zaluda L, Johnson J, Sueiro M, Cavaliere D, Jeanpaul V, Maffucci A, Mancini L, Deen J, Muldoon G, Whitbourne S, Canive J, Adamson L, Calais L, Fuldauer G, Kushner R, Toney G, Lackey M, Mank A, Mahdavi N, Villarreal G, Muly E, Amin F, Dent M, Wold J, Fischer B, Elliott A, Felix C, Gill G, Parker P, Logan C, McAlpine J, DeLisi L, Reece S, Hammer M, Agbor-Tabie D, Goodson W, Aslam M, Grainger M, Richtand N, Rybalsky A, Al Jurdi R, Boeckman E, Natividad T, Smith D, Stewart M, Torres S, Zhao Z, Mayeda A, Green A, Hofstetter J, Ngombu S, Scott M, Strasburger A, Sumner J, Paschall G, Mucciarelli J, Owen R, Theus S, Tompkins D, Potkin S, Reist C, Novin M, Khalaghizadeh S, Douyon R, Kumar N, Martinez B, Sponheim S, Bender T, Lucas H, Lyon A, Marggraf M, Sorensen L, Surerus C, Sison C, Amato J, Johnson D, Pagan-Howard N, Adler L, Alerpin S, Leon T, Mattocks K, Araeva N, Sullivan J, Suppes T, Bratcher K, Drag L, Fischer E, Fujitani L, Gill S, Grimm D, Hoblyn J, Nguyen T, Nikolaev E, Shere L, Relova R, Vicencio A, Yip M, Hurford I, Acheampong S, Carfagno G, Haas G, Appelt C, Brown E, Chakraborty B, Kelly E, Klima G, Steinhauer S, Hurley R, Belle R, Eknoyan D, Johnson K, Lamotte J, Granholm E, Bradshaw K, Holden J, Jones R, Le T, Molina I, Peyton M, Ruiz I, Sally L, Tapp A, Devroy S, Jain V, Kilzieh N, Maus L, Miller K, Pope H, Wood A, Meyer E, Givens P, Hicks P, Justice S, McNair K, Pena J, Tharp D, Davis L, Ban M, Cheatum L, Darr P, Grayson W, Munford J, Whitfield B, Wilson E, Melnikoff S, Schwartz B, Tureson M, D Souza D, Forselius K, Ranganathan M, Rispoli L, Sather M, Colling C, Haakenson C, Kruegar D, Muralidhar S, Ramoni R, Breeling J, Chang K, O Donnell C, Tsao P, Moser J, Brewer J, Warren S, Argyres D, Stevens B, Humphries D, Do N, Shayan S, Nguyen X, Pyarajan S, Cho K, Hauser E, Sun Y, Wilson P, McArdle R, Dellitalia L, Harley J, Whittle J. Correlates of Risk for Disinhibited Behaviors in the Million Veteran Program Cohort. JAMA Psychiatry 2024, 81: 188-197. PMID: 37938835, PMCID: PMC10633411, DOI: 10.1001/jamapsychiatry.2023.4141.Peer-Reviewed Original ResearchSubstance use disordersPolygenic risk scoresMillion Veteran ProgramCorrelates of riskElectronic health recordsPsychiatric problemsComorbid psychiatric problemsViral hepatitis C.Chronic airway obstructionHealth recordsElectronic health record dataUS veteran populationMillion Veteran Program cohortCommon etiologic pathwayHealth care centersHealth record dataInternational Statistical ClassificationSuicide-related behaviorsAirway obstructionCohort studyHepatitis C.Recent genome-wide association studiesLiver diseaseUS veteransCare center
2022
Association of Kidney Comorbidities and Acute Kidney Failure With Unfavorable Outcomes After COVID-19 in Individuals With the Sickle Cell Trait
Verma A, Huffman JE, Gao L, Minnier J, Wu WC, Cho K, Ho YL, Gorman BR, Pyarajan S, Rajeevan N, Garcon H, Joseph J, McGeary JE, Suzuki A, Reaven PD, Wan ES, Lynch JA, Petersen JM, Meigs JB, Freiberg MS, Gatsby E, Lynch KE, Zekavat SM, Natarajan P, Dalal S, Jhala DN, Arjomandi M, Bonomo RA, Thompson TK, Pathak GA, Zhou JJ, Donskey CJ, Madduri RK, Wells QS, Gelernter J, Huang RDL, Polimanti R, Chang KM, Liao KP, Tsao PS, Sun YV, Wilson PWF, O’Donnell C, Hung AM, Gaziano JM, Hauger RL, Iyengar SK, Luoh SW, Muralidhar S, Beckham J, Moser J, Thomann L, Garcon H, Kosik N, Damrauer S, Assimes T, Roussos P, Striker R, Tuteja S, DuVall S, Lynch K, Gatsby E, Ramoni R, Breeling J, Huang G, Whitbourne S, Brewer J, Aslan M, Connor T, Argyres D, Stephens B, Brophy M, Humphries D, Selva L, Do N, Shayan S, Churby L, Hauser E, Zhao H, Wilson P, McArdle R, Dellitalia L, Mattocks K, Harley J, Whittle J, Jacono F, Wells J, Gutierrez S, Gibson G, Hammer K, Kaminsky L, Villareal G, Kinlay S, Xu J, Hamner M, Mathew R, Bhushan S, Iruvanti P, Godschalk M, Ballas Z, Ivins D, Mastorides S, Moorman J, Gappy S, Klein J, Ratcliffe N, Florez H, Okusaga O, Murdoch M, Sriram P, Yeh S, Tandon N, Jhala D, Aguayo S, Cohen D, Sharma S, Liangpunsakul S, Oursler K, Whooley M, Ahuja S, Constans J, Meyer P, Greco J, Rauchman M, Servatius R, Gaddy M, Wallbom A, Morgan T, Stapley T, Sherman S, Ross G, Tsao P, Strollo P, Boyko E, Meyer L, Gupta S, Huq M, Fayad J, Hung A, Lichy J, Hurley R, Robey B. Association of Kidney Comorbidities and Acute Kidney Failure With Unfavorable Outcomes After COVID-19 in Individuals With the Sickle Cell Trait. JAMA Internal Medicine 2022, 182: 796-804. PMID: 35759254, PMCID: PMC9237798, DOI: 10.1001/jamainternmed.2022.2141.Peer-Reviewed Original ResearchConceptsAcute kidney failureSickle cell traitAssociation of SCTCOVID-19 outcomesCOVID-19 mortalityKidney diseaseKidney failureCell traitMillion Veteran ProgramCOVID-19Chronic kidney diseaseDiabetic kidney diseaseHypertensive kidney diseaseElectronic health recordsIndex dateAfrican ancestryPulmonary embolismClinical outcomesCerebrovascular diseaseMean ageUnfavorable outcomeClinical dataDiseases codesKidney morbidityMAIN OUTCOME
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